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Study Continuous-Time Markov Decision Processes: Theory and Applications

Posted on 2010-03-16




Name:Study Continuous-Time Markov Decision Processes: Theory and Applications
ASIN/ISBN:3642025463
Language:English
File size:1.3 Mb
Language: English
Publish Date: 2009-10-01
ISBN: 3642025463
Pages: 231 pages
File Type: PDF
File Size: 1,3 MB
Other Info: Springer
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Xianping Guo, Onésimo Hernández-Lerma "Continuous-Time Markov Decision Processes: Theory and Applications"

Continuous-time Markov decision processes (MDPs), also known as controlled Markov chains, are used for modeling decision-making problems that arise in operations research (for instance, inventory, manufacturing, and queueing systems), computer science, communications engineering, control of populations (such as fisheries and epidemics), and management science, among many other fields. This volume provides a unified, systematic, self-contained presentation of recent developments on the theory and applications of continuous-time MDPs. The MDPs in this volume include most of the cases that arise in applications, because they allow unbounded transition and reward/cost rates. Much of the material appears for the first time in book form.

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Continuous-Time Markov Decision Processes: Theory and Applications (repost)

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Continuous-Time Markov Decision Processes: Theory and Applications Springer | English | 2009-10-01 | ISBN: 3642025463 | 231 pages | PDF | 1,3 MBContinuous-time Markov decision processes (MDPs), also known as controlled Markov chains, are us ...

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